Comments (1)
harsha-simhadri
commented on May 20, 2024
This code was written for training the model. We do it on our laptop/workstation, which has Intel processors (hence MKL library). The idea is that you take the model and make predictions on Raspberry.
If you'd like to use this training code on Raspberry Pi, we suggest you try another implementation of BLAS routines that works on Raspberry Pi. I imagaine it will required minor code changes (disable all sparse matrices) as well as make file changes. If you would like to do this and you have an appropriate BLAS library for Raspberry which has math calls, we can help you.
And we will be glad to merge your changes so others can use it.
from edgeml.
Related Issues (20)
- USE_DROPOUT = True HOT 3
- FastGRNN HOT 7
- Exception: FastGRNNCUDA is supported only on GPU devices. HOT 6
- Inference Code to deploy KWS on bluecoin HOT 2
- Question about F1 score for Cifar-10 HOT 5
- DROCC Learning Rate Sheduler HOT 2
- Error while converting .onnx model to .pb format HOT 2
- Question about Bonsai training HOT 2
- KWS-demo throwing errors on running FastGRNNCUDA inference on google speech commands dataset HOT 1
- Seedot HOT 7
- How to predict a Test Sample? HOT 5
- SeeDot-dev.py only working for fastgrnn HOT 22
- The model of DROCC seems missing HOT 3
- How to get predictions from trained model for FastCells in Tensorflow HOT 3
- Why Bonsai and ProtoNN does not return logits but only the argmax of predictions? HOT 1
- For Image Anomaly, custom dataset HOT 6
- Select protoypes without projecting
- This repo is missing important files HOT 1
- Why is the GRNN much slower than a GRU HOT 1
- ImageNet-10 dataset RNN-Pooling HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from edgeml.